Pluma Experiments

This repository contains data acquisition and benchmark workflows for the wearable data collection unit.

Hardware

The wearable data collection unit (Pluma) integrates the following hardware components:

• Bricklets
  • GPS
  • CO2
  • Ambient Light
  • Air Quality
  • Sound Pressure
  • Humidity
  • Analog input
• Harp BioData board (ECG, synching, clock reference)
• GPS Module (ZED-F9P)
• Biaural audio
  • no audio will be collected, instead we will short an input from the synchpulse to the audiocard to benchmark latencies
• Pupillabs pupil invisible
• Harp-triggered I2C Accelarometer

Walker fake monitor

In order to have a monitor that remote applications can target, we must emulate a fake hardware display. We are currently using the IddSampleDriver (Instructions and download of Release 0.0.1 here.)

Tinker Forge

Install notes

• Bonsai reads from Tinkerforge trhough the Brick Deamon, so you should follow the Brick Daemon Installation on Windows https://www.tinkerforge.com/en/doc/Software/Brickd_Install_Windows.html#brickd-install-windows

• Is also usefull to have the Brick viewer in order to be able to check the tinkerforge system and view outputs/inputs to all sensors connected. https://www.tinkerforge.com/en/doc/Software/Brickv.html

• On Bonsai side you should install the tinkerforge nuget package.

Execution Notes

• Open Bonsai and insert a CreateBrickConnection node, check the port and host, but the default values should be ok for a local system with a clena inhstallation.
• connect that node to all specific tinkerforge sensor or actuator nodes that you have connected in your system, confure them properly (different components have differet set of settings). Don't forget to give the proper Uid (there is a dropdown that only shows compatible sensors to easy your life).
• Run the Brickv 2.4.22 from the startup menu.

Enobio EEG

Execution Notes

• Open NIC2 application
• Press use USB devices
• Ensure that the device is connected with usb proper plug to the computer
• Power on the device by pressing the side button.
• Press scan for devices.
• Select the device from the available that appear.
• Click use this device.
• Press the human face image on the left pannel.
• Select EEG_Benchmarks.
• Press Load Protocol.
• Wait for the synchronizing
• Press Play to save Data
• Start Boinsai workflow.

Pupil Labs Pupil Invisible 0MQ

The Pupil Invisible Companion app uses the NDSI v4 protocol to publish video streams from the world/eye cameras as well as gaze data and user-events. The app acts as a Zyre host that contains data streams from individual sensors with a specified protocol. Sensors on the Zyre host define a data endpoint (for receiving sensor data) and a command endpoint (for controlling the sensor, e.g. enabling streaming) both of which use 0MQ messaging. A sensor's data can be read with a SUB socket connected to the the data endpoint, and controlled with a PUSH socket connected to the command endpoint.

The general sequence for communicating with the Pupil Invisible is as follows:

• A Bonsai.Zyre ZyreNode attempts to the companion app which can be found with the Zyre group name pupil-mobile-v4.
• On a successful connection, the companion app will WHISPER all currently available sensors to the Bonsai ZyreNode, including their data/command endpoints.
• Bonsai filters the WHISPER messages according to which sensors are required for data collection.
• For those sensors a 0MQ message is sent with a PUSH socket to the command endpoint to activate streaming.
• For those sensors a SUB socket is used to read out their values.

In general, all sensor data streams are composed of three NetMQFrames for each sample:

• Sensor UID
• The data header
• The raw binary data payload (can be parsed using the data header).

The PupilInterface package provides some specific functionality for interfacing with the messages received from the pupil data streams.

• The sensor information received from the Zyre group is received as JSON which needs to be parsed. The PupilSensor operator extracts and parses JSON in Zyre NetMQFrames to give the required sensor data for streaming.
• The world camera data is received as individual binary frames of H264 encoded data. The DecodeByteFrame operator instantiates a frame-by-frame ffmpeg decoder that decodes each binary frame into an image.

To run the protocol:

0. In the backpack computer activate the hotspot with SSID Backpack;
1. Ensure the hotspot power saving is disabled;
2. Ensure the cellphone is connected to the backpack computer hotspot (named Backpack);
3. Turn on the companion phone and open the Invisible Companion App;
4. Select Wearer, click Adjust and follow the calibration procedure;
5. On the cellphone, hit Apply and confirm the eye gaze marker position matches the expected gaze;
6. The App should now remain open to keep the Zyre Server active;
7. From Bonsai, hit Start and it should automatically start streaming the video data.

Bonsai data logging

Most of the data currently being saved in Bonsai is packaged in a HARP message format. For each different event (different address) a new .bin file will be created.

Synchronization

Synchronization is either being achieved at the software level (Bonsai) by timestamping a given sample with the latest timestamp available from the HARP device or through a hardware-level TTL strategy.

To achieve this, Bonsai is randomly toggling a digital output in the HARP behavior board every 8-16 seconds for 100ms. This signal is currently being logged in the GPS module, Bricklet's analog input. In the future we could use this to burn an LED in various camera streams if needed.

Current event codes

Firmware

Device	Stream	Code	Rate	Obs
BioData	EnableStreams	32	-	Enable Oximeter, ECG, GSR or Accelerometer
	DisableStreams	33	-	Enable Oximeter, ECG, GSR or Accelerometer
	ECG	35	1 kHz	ECG and Photodiode stream (mv)
	GSR	36	4 Hz	GSR stream
	Accelerometer	37	50 Hz	Accelerometer polling trigger
	Digital Inputs	38	-	GPS lock (0x1) and Auxiliary input (0x2)
	SynchPulse (Set)	39	-	Rising edge of pseudo-random TTL sequence
	SynchPulse (Clear)	40	-	Falling edge of pseudo-random TTL sequence
Microphone	Audio	-	44.1 kHz	Raw audio data saved to Microphone.bin
	BufferIndex	222	*10 Khz	Multiply by buffer size to get sample index
TK-GPS	Latitude	227	1 Hz	Depends on having GPS signal GPS
	Longitude	228	1 Hz	Depends on having GPS signal
	Altitude	229	1 Hz	Depends on having GPS signal
	Data	230	1 Hz	Date from tinkerforge GPS device
	Time	231	1 Hz	Time from tinkerforge GPS device
	HasFix	232	1 Hz	Depends on having GPS signal
TK-CO2V2	CO2Conc	224	-	This sensor is not being used
	Temperature	225	-	This sensor is not being used
	Humidity	226	-	This sensor is not being used
TK-AmbientLight	AmbientLight	223	-	This sensor is not being used
TK-AirQuality	IAQ Index	233	1 Hz	IAQ
	Temperature	234	1 Hz	value x 100 = °C
	Humidity	235	1 Hz	value x 100 = %RH
	AirPressure	236	1 Hz	value / 100.0 = hPa
TK-SoundPressureLevel	SPL	237	100 Hz	Output db*10 Sound Pressure Bricklet
TK-Humidity	Humidity	238		Output Rh% * 100 Humidity v2
TK-AnalogIn	AnalogIn	239	100 Hz
TK-Particulate Matter	PM1.0	240	100 Hz	Timestamped(int) µg/m³
	PM2.5	241	100 Hz	Timestamped(int) µg/m³
	PM10	242	100 Hz	Timestamped(int) µg/m³
TK-Dual0-20mA	Solar-Light	243	100 Hz	Timestamped(int) mA x 1000000
TK-Thermoouple	Radiant Temp	244	100 Hz	Timestamped(int) °C x 100
TK-PTC	Air Temp	245	100 Hz	Timestamped(int) °C x 100
ATMOS22	North Wind	246	~2 Hz	Timestamped(float) m/s
	East Wind	247	~2 Hz	Timestamped(float) m/s
	Gust Wind	248	~2 Hz	Timestamped(float) m/s
	Air Temp	249	~2 Hz	Timestamped(float) °C
	XOrientation	250	~2 Hz	Timestamped(float) Angle (°)
	YOrientation	251	~2 Hz	Timestamped(float) Angle (°)
	NullValue	252	~2 Hz	Timestamped(float)
BNO055-Accelerometer	Orientation X	-	50 Hz	Angle (°)
	Orientation Y	-	50 Hz	Angle (°)
	Orientation Z	-	50 Hz	Angle (°)
	Gyroscope X	-	50 Hz	Angle (°)
	Gyroscope Y	-	50 Hz	Angle (°)
	Gyroscope Z	-	50 Hz	Angle (°)
	LinearAccl X	-	50 Hz	m/s²
	LinearAccl Y	-	50 Hz	m/s²
	LinearAccl Z	-	50 Hz	m/s²
	Magnetometer X	-	50 Hz	Angle (°)
	Magnetometer Y	-	50 Hz	Angle (°)
	Magnetometer Z	-	50 Hz	Angle (°)
	Accl X	-	50 Hz	m/s²
	Accl Y	-	50 Hz	m/s²
	Accl Z	-	50 Hz	m/s²
	Gravity X	-	50 Hz	m/s²
	Gravity Y	-	50 Hz	m/s²
	Gravity Z	-	50 Hz	m/s²
	SysCalibEnabled	-	50 Hz	Boolean
	GyroCalibEnabled	-	50 Hz	Boolean
	AccCalibEnabled	-	50 Hz	Boolean
	MagCalibEnabled	-	50 Hz	Boolean
	SysCalibEnabled	-	50 Hz	Boolean
	Temperature	-	50 Hz	Not used(??)
	SoftwareTimestamp	-	50 Hz	TimeStamp
Empatica-E4	E4_Acc	-	31.5 Hz	Axis: X(usb);Y(strap);Z(bottom) m/s²
	E4_Battery	-	0.05 Hz	% of battery float (0.0 to 1.0)
	E4_Bvp	-	64 Hz	Reflection of green and red light
	E4_Gsr	-	4 Hz	microsiemens
	E4_Hr	-	1.56 Hz	beats per minute
	E4_Ibi	-	1.56 Hz	Heart inter beat interval in seconds
	E4_Temperature	-	4 Hz	Wrist surface temperature in ᵒC
	E4_Tag	-	-	Wristband button pressed
	R	-	-	Responses to commands sent to E4
	E4_Seconds	-	-	Every stream is timestamped with E4 timestamp
PupilLabs	WorldCamera (Decoded)	209	32 Hz	Timestamped(Boolean HasFrame?)
	WorldCamera (Raw)	210	32 Hz	Timestamped(FrameNumber)
	IMU	211	-	Not in use Timestamped(FrameNumber)
	Gaze	212	250 Hz	Timestamped(FrameNumber)
	Audio	213	-	Not in use Timestamped(FrameNumber)
	Key	214	-	Not in use Timestamped(FrameNumber)
UBX	UBX
Omnicept	EyeTracking	215		Timestamped(long[])
	HeartRate	216		Timestamped(long[])
	IMU	217		Timestamped(long[])
	Mouth	218		Timestamped(long[])
VRTransform	VrTimestamp	219		Timestamped(long)
UnityImage	VrTimestamp	220		Timestamped(long)

Simulation

The VR simulation environment is in VR-Alfama folder, to set up the Unity environment follow the instructions in the README.md inside VR-Alfama